NVIDIA GeForce RTX 3090

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3801 BIOS) and NVIDIA GeForce RTX 3090 24GB on Ubuntu 21.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2112069-PTS-NVIDIAGE39
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RTX 3090
December 05 2021
  2 Hours, 29 Minutes
NVIDIA RTX 3090
December 05 2021
  7 Hours, 31 Minutes
NVIDIA 3090
December 06 2021
  2 Hours, 25 Minutes
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  4 Hours, 8 Minutes

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NVIDIA GeForce RTX 3090OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3801 BIOS)AMD Starship/Matisse32GB1000GB Sabrent Rocket 4.0 PlusNVIDIA GeForce RTX 3090 24GBNVIDIA GA102 HD AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 21.105.13.0-22-generic (x86_64)GNOME Shell 40.5X Server 1.20.13NVIDIA 495.444.6.0OpenCL 3.0 CUDA 11.5.1001.2.186GCC 11.2.0 + Clang 13.0.0-2ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionNVIDIA GeForce RTX 3090 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-ZPT0kp/gcc-11-11.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201016 - BAR1 / Visible vRAM Size: 32768 MiB- GPU Compute Cores: 10496- Python 3.9.7- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

RTX 3090NVIDIA RTX 3090NVIDIA 3090Result OverviewPhoronix Test Suite100%103%105%108%LuxCoreRenderRodiniaVkFFTNCNNMandelGPUWaifu2x-NCNN VulkanclpeakLeelaChessZeroNAMD CUDARealSR-NCNNArrayFirevkpeakXonoticViennaCLOctaneBenchVkResampleParaViewChaos Group V-RAYET: LegacyWarsowHashcatFAHBenchUnvanquishedSHOC Scalable HeterOgeneous ComputingBlendercl-memIndigoBenchFinanceBench

NVIDIA GeForce RTX 3090ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - yolov4-tinyunvanquished: 1920 x 1080 - Highncnn: Vulkan GPU - shufflenet-v2rodinia: OpenCL Particle Filterclpeak: Integer Compute INTncnn: Vulkan GPU - efficientnet-b0viennacl: CPU BLAS - dGEMM-NTvkfft: paraview: Wavelet Volume - 2560 x 1440paraview: Wavelet Volume - 2560 x 1440hashcat: TrueCrypt RIPEMD160 + XTSviennacl: OpenCL BLAS - dDOTparaview: Wavelet Volume - 1920 x 1200paraview: Wavelet Volume - 1920 x 1200blender: Classroom - NVIDIA OptiXunvanquished: 1920 x 1200 - Mediumshoc: OpenCL - GEMM SGEMM_Nncnn: Vulkan GPU - blazefaceunvanquished: 1920 x 1200 - Highunvanquished: 3840 x 2160 - Ultraparaview: Wavelet Volume - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080unvanquished: 2560 x 1440 - Mediumparaview: Many Spheres - 1920 x 1200paraview: Many Spheres - 1920 x 1200viennacl: CPU BLAS - sDOTxonotic: 3840 x 2160 - Lowparaview: Wavelet Volume - 3840 x 2160paraview: Wavelet Volume - 3840 x 2160etlegacy: 1920 x 1200luxcorerender: Danish Mood - GPUwarsow: 3840 x 2160etlegacy: 3840 x 2160unvanquished: 3840 x 2160 - Highxonotic: 3840 x 2160 - Ultimatexonotic: 3840 x 2160 - Highviennacl: CPU BLAS - dDOTxonotic: 3840 x 2160 - Ultraunvanquished: 1920 x 1080 - Mediumncnn: Vulkan GPU - resnet18mandelgpu: GPUunvanquished: 1920 x 1200 - Ultraviennacl: CPU BLAS - dAXPYunvanquished: 2560 x 1440 - Highrealsr-ncnn: 4x - Noparaview: Wavelet Contour - 3840 x 2160paraview: Wavelet Contour - 3840 x 2160viennacl: CPU BLAS - dGEMV-Nwaifu2x-ncnn: 2x - 3 - Yesunvanquished: 3840 x 2160 - Mediumviennacl: CPU BLAS - sAXPYncnn: Vulkan GPU - mobilenetviennacl: CPU BLAS - dGEMM-TNlczero: OpenCLvkpeak: fp16-vec4vkpeak: fp64-scalarviennacl: CPU BLAS - dGEMM-NNviennacl: CPU BLAS - dGEMM-TTshoc: OpenCL - Max SP Flopsvkpeak: fp32-vec4viennacl: OpenCL BLAS - dGEMV-Nviennacl: CPU BLAS - sCOPYparaview: Wavelet Contour - 2560 x 1440paraview: Wavelet Contour - 2560 x 1440etlegacy: 2560 x 1440etlegacy: 1920 x 1080vkpeak: fp16-scalarvkpeak: int32-scalarvkpeak: fp64-vec4paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080viennacl: OpenCL BLAS - sCOPYluxcorerender: Rainbow Colors and Prism - GPUviennacl: OpenCL BLAS - sDOTvkresample: 2x - Doubleunvanquished: 1920 x 1080 - Ultrancnn: Vulkan GPU - alexnetnamd-cuda: ATPase Simulation - 327,506 Atomsblender: Barbershop - CUDAarrayfire: Conjugate Gradient OpenCLv-ray: NVIDIA RTX GPUwarsow: 1920 x 1080hashcat: SHA1viennacl: CPU BLAS - dGEMV-Tblender: Fishy Cat - NVIDIA OptiXshoc: OpenCL - MD5 Hashvkpeak: int16-vec4octanebench: Total Scoreviennacl: OpenCL BLAS - dGEMM-NNviennacl: OpenCL BLAS - dGEMM-TTvkpeak: fp32-scalarblender: BMW27 - CUDAparaview: Many Spheres - 3840 x 2160paraview: Many Spheres - 3840 x 2160viennacl: OpenCL BLAS - sAXPYrealsr-ncnn: 4x - Yesparaview: Wavelet Contour - 1920 x 1200paraview: Wavelet Contour - 1920 x 1200blender: Classroom - CUDAncnn: Vulkan GPU-v2-v2 - mobilenet-v2viennacl: OpenCL BLAS - dGEMM-TNviennacl: OpenCL BLAS - dCOPYwarsow: 1920 x 1200blender: BMW27 - NVIDIA OptiXviennacl: CPU BLAS - dCOPYparaview: Many Spheres - 2560 x 1440paraview: Many Spheres - 2560 x 1440ncnn: Vulkan GPU - regnety_400mblender: Fishy Cat - CUDAcl-mem: Copyluxcorerender: Orange Juice - GPUvkpeak: int16-scalarvkpeak: int32-vec4luxcorerender: DLSC - GPUv-ray: NVIDIA CUDA GPUviennacl: OpenCL BLAS - dGEMM-NTfahbench: indigobench: OpenCL GPU - Supercarshoc: OpenCL - S3Dparaview: Many Spheres - 1920 x 1080hashcat: SHA-512blender: Barbershop - NVIDIA OptiXncnn: Vulkan GPU - resnet50paraview: Many Spheres - 1920 x 1080shoc: OpenCL - Texture Read Bandwidthhashcat: 7-Zipclpeak: Single-Precision Floatcl-mem: Writencnn: Vulkan GPU - vgg16blender: Pabellon Barcelona - NVIDIA OptiXvkresample: 2x - Singleshoc: OpenCL - Reductionblender: Pabellon Barcelona - CUDAluxcorerender: LuxCore Benchmark - GPUviennacl: OpenCL BLAS - dAXPYshoc: OpenCL - Triadshoc: OpenCL - Bus Speed Readbackcl-mem: Readwarsow: 2560 x 1440indigobench: OpenCL GPU - Bedroomclpeak: Double-Precision Doubleshoc: OpenCL - FFT SPshoc: OpenCL - Bus Speed Downloadhashcat: MD5financebench: Black-Scholes OpenCLclpeak: Global Memory Bandwidthncnn: Vulkan GPU - mnasnetviennacl: OpenCL BLAS - dGEMV-Tncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - googlenetunvanquished: 2560 x 1440 - Ultrawaifu2x-ncnn: 2x - 3 - NoRTX 3090NVIDIA RTX 3090NVIDIA 30903.177.024821.943.84317725.143.2688.445831559.058944.74684610066010151.478634.4717.4473.68102.381.06464.9456.8679.6710874.708492.593.919414.686140655.142588384.846157.361645.39.18960.8648.4463.6374.4286255556.929700142.4499.2632615496.11.67481322759.646334.94695.6214134.488396.7468.13.313490.199.64.2893.82273941184.89653.6181.591.940753.927806.7423966.15366.18514.93640.2652.320949.6420769.276274.519602.0936832.33375117.817470.81.910.1279291.131.472856984.32259930000076.111.2244.193216885.79686.23125860160220927.9911.049169.63691.4650328.9495849.675561.3222.761.98599606984.86.9423.39343.81793.22.5422.86364.110.4513708.5820672.192119604353.891553.438429.0829419.399288700000056.193.5593.952246.17113850035227.21743.14.1717.969.272391.20948.1172225.478127.1252794.6984.720.961658.162100.5126.3342714469000006.259813.422.0837715.965.85461.72.246.72479.01.83.69418044.253.2584.444252544.988719.75082563365710300.044643.7517.43488.58336.711.03478.3461.2689.8111036.994488.594.289451.903137659.9059394376.776028.366659.19.20980.7638.7471.0369.9242194567.721430041.6492.4660277487.31.67475794831.7469.834.7467.65.7154070.881390.6467.13.362485.698.24.2292.52271140926.17649.5381.990.740238.827457.9024065.55374.983515.78647.6654.520717.3120689.72651.176206.035595.5236432.60371118.517469.51.920.1291291.291.4702856975.52267850000075.511.3244.545316880.01685.10965660060120826.6611.029217.22891.9450129.0645867.721563.0522.691.97601605980.36.9123.29356.71093.332.5322.87364.210.4113657.3620594.7811.572112605353.327253.500430.3479429.536288466666756.353.5594.052240.09114010035136.60744.74.1818.009.292391.57348.1811.2072225.484027.1252794.3985.720.951657.712101.0826.3282714113666676.258813.452.0837717.316.07452.52.247.434401.83.62718742.73.4286.844147565.69049.54381630063710497.894656.1217.984848098.461.05474.6469.7696.4711143.486481.292.139236.629137645.8515908381.696107.065657.89.01978.6635.5472.9367.1052632566.122869342.2490.2778714491.91.7472928214.8471.134.3475.75.6734081.298391.6367.53.31848398.34.2392.82302941496.68658.582.690.840566.227806.5523765.35430.386521.09643.7659.820953.7220924.98658.516247.735599.5236432.25371119.073474.51.90.1277990.361.4852829984.82281310000075.411.2244.535817012.23681.12610860460520960.2511.099226.85492.0350028.8915836.216560.0322.641.97602608984.96.9223.29380.93293.572.5322.78362.810.4313709.4120672.2111.612115606354.462353.6430.2799402.63289290000056.343.5693.792245.23114150035225.4742.84.1717.969.291392.0348.0911.2272325.450527.0904795.2985.520.943658.162101.8226.3202714362000006.256813.472.0837719.735.75466.6OpenBenchmarking.org

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3RTX 3090NVIDIA 3090NVIDIA RTX 30900.71331.42662.13992.85323.5665SE +/- 0.00, N = 33.172.242.24MIN: 2.21 / MAX: 20.43MIN: 2.21 / MAX: 4.61MIN: 2.21 / MAX: 3.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tinyNVIDIA 3090RTX 3090NVIDIA RTX 3090246810SE +/- 0.04, N = 37.437.026.72MIN: 6.36 / MAX: 36.74MIN: 6.34 / MAX: 30.81MIN: 6.3 / MAX: 19.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: HighNVIDIA 3090NVIDIA RTX 3090RTX 3090100200300400500SE +/- 2.19, N = 3440.0479.0482.0

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2RTX 3090NVIDIA 3090NVIDIA RTX 30900.43650.8731.30951.7462.1825SE +/- 0.00, N = 31.941.801.80MIN: 1.78 / MAX: 2.28MIN: 1.77 / MAX: 2.69MIN: 1.76 / MAX: 31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenCL Particle FilterRTX 3090NVIDIA RTX 3090NVIDIA 30900.86471.72942.59413.45884.3235SE +/- 0.013, N = 33.8433.6943.6271. (CXX) g++ options: -O2 -lOpenCL

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is BetterclpeakOpenCL Test: Integer Compute INTRTX 3090NVIDIA RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 115.05, N = 317725.1418044.2518742.701. (CXX) g++ options: -O3 -rdynamic -lOpenCL

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0NVIDIA 3090RTX 3090NVIDIA RTX 30900.76951.5392.30853.0783.8475SE +/- 0.00, N = 33.423.263.25MIN: 3.24 / MAX: 4.26MIN: 3.23 / MAX: 3.42MIN: 3.22 / MAX: 4.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NTNVIDIA RTX 3090NVIDIA 3090RTX 309020406080100SE +/- 0.12, N = 384.486.888.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.1NVIDIA 3090NVIDIA RTX 3090RTX 309010K20K30K40K50KSE +/- 384.18, N = 94414744252458311. (CXX) g++ options: -O3

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 2560 x 1440NVIDIA RTX 3090RTX 3090NVIDIA 3090120240360480600SE +/- 3.11, N = 3544.98559.05565.60

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 2560 x 1440NVIDIA RTX 3090RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 49.80, N = 38719.758944.759049.54

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: TrueCrypt RIPEMD160 + XTSNVIDIA 3090NVIDIA RTX 3090RTX 3090200K400K600K800K1000KSE +/- 4520.08, N = 3816300825633846100

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dDOTNVIDIA 3090NVIDIA RTX 3090RTX 3090140280420560700SE +/- 0.58, N = 36376576601. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 74.83, N = 310151.4810300.0410497.89

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1200RTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 4.68, N = 3634.47643.75656.12

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Classroom - Compute: NVIDIA OptiXNVIDIA 3090NVIDIA RTX 3090RTX 309048121620SE +/- 0.02, N = 317.9817.4317.40

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: MediumRTX 3090NVIDIA 3090NVIDIA RTX 3090110220330440550SE +/- 1.98, N = 3473.6484.0488.5

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: GEMM SGEMM_NNVIDIA 3090RTX 3090NVIDIA RTX 30902K4K6K8K10KSE +/- 67.62, N = 38098.468102.388336.711. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceRTX 3090NVIDIA 3090NVIDIA RTX 30900.23850.4770.71550.9541.1925SE +/- 0.00, N = 31.061.051.03MIN: 1.02 / MAX: 2.12MIN: 1.01 / MAX: 2.18MIN: 1 / MAX: 2.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: HighRTX 3090NVIDIA 3090NVIDIA RTX 3090100200300400500SE +/- 4.62, N = 3464.9474.6478.3

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 4.41, N = 3456.8461.2469.7

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 3090150300450600750SE +/- 5.50, N = 3679.67689.81696.47

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 88.00, N = 310874.7111036.9911143.49

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: MediumNVIDIA 3090NVIDIA RTX 3090RTX 3090110220330440550SE +/- 3.75, N = 3481.2488.5492.5

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1200NVIDIA 3090RTX 3090NVIDIA RTX 309020406080100SE +/- 0.06, N = 392.1393.9194.28

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1200NVIDIA 3090RTX 3090NVIDIA RTX 30902K4K6K8K10KSE +/- 5.73, N = 39236.639414.699451.90

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sDOTNVIDIA RTX 3090NVIDIA 3090RTX 3090306090120150SE +/- 0.67, N = 31371371401. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: LowNVIDIA 3090RTX 3090NVIDIA RTX 3090140280420560700SE +/- 0.55, N = 3645.85655.14659.91MIN: 117 / MAX: 1283MIN: 103 / MAX: 1300MIN: 109 / MAX: 1303

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 3840 x 2160NVIDIA RTX 3090NVIDIA 3090RTX 309080160240320400SE +/- 4.06, N = 5376.77381.69384.84

OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.9Test: Wavelet Volume - Resolution: 3840 x 2160NVIDIA RTX 3090NVIDIA 3090RTX 309013002600390052006500SE +/- 65.03, N = 56028.376107.076157.36

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 1200RTX 3090NVIDIA 3090NVIDIA RTX 3090140280420560700SE +/- 2.46, N = 3645.3657.8659.1

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: GPUNVIDIA 3090RTX 3090NVIDIA RTX 30903691215SE +/- 0.08, N = 39.019.189.20MIN: 3.3 / MAX: 10.77MIN: 3.53 / MAX: 10.86MIN: 3.03 / MAX: 10.91

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 3840 x 2160RTX 3090NVIDIA 3090NVIDIA RTX 30902004006008001000SE +/- 0.78, N = 3960.8978.6980.7

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 3840 x 2160NVIDIA 3090NVIDIA RTX 3090RTX 3090140280420560700SE +/- 6.04, N = 3635.5638.7648.4

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: HighRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 3.53, N = 3463.6471.0472.9

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: UltimateNVIDIA 3090NVIDIA RTX 3090RTX 309080160240320400SE +/- 1.53, N = 3367.11369.92374.43MIN: 65 / MAX: 749MIN: 58 / MAX: 764MIN: 65 / MAX: 751

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: HighRTX 3090NVIDIA 3090NVIDIA RTX 3090120240360480600SE +/- 1.97, N = 3556.93566.12567.72MIN: 114 / MAX: 1122MIN: 113 / MAX: 1151MIN: 91 / MAX: 1163

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dDOTNVIDIA RTX 3090NVIDIA 3090RTX 30901020304050SE +/- 0.42, N = 341.642.242.41. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Xonotic

This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterXonotic 0.8.2Resolution: 3840 x 2160 - Effects Quality: UltraNVIDIA 3090NVIDIA RTX 3090RTX 3090110220330440550SE +/- 1.15, N = 3490.28492.47499.26MIN: 122 / MAX: 891MIN: 93 / MAX: 902MIN: 117 / MAX: 913

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: MediumNVIDIA RTX 3090NVIDIA 3090RTX 3090110220330440550SE +/- 3.91, N = 3487.3491.9496.1

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18NVIDIA 3090NVIDIA RTX 3090RTX 30900.38250.7651.14751.531.9125SE +/- 0.00, N = 31.701.671.67MIN: 1.65 / MAX: 9.46MIN: 1.64 / MAX: 4.75MIN: 1.64 / MAX: 1.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

MandelGPU

MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples/sec, More Is BetterMandelGPU 1.3pts1OpenCL Device: GPUNVIDIA 3090NVIDIA RTX 3090RTX 3090100M200M300M400M500MSE +/- 1595019.30, N = 3472928214.8475794831.7481322759.61. (CC) gcc options: -O3 -lm -ftree-vectorize -funroll-loops -lglut -lOpenCL -lGL

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1200 - Effects Quality: UltraRTX 3090NVIDIA RTX 3090NVIDIA 3090100200300400500SE +/- 5.55, N = 3463.0469.8471.1

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dAXPYNVIDIA 3090NVIDIA RTX 3090RTX 3090816243240SE +/- 0.00, N = 334.334.734.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: HighNVIDIA RTX 3090RTX 3090NVIDIA 3090100200300400500SE +/- 2.97, N = 3467.6469.0475.7

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoNVIDIA RTX 3090NVIDIA 3090RTX 30901.28592.57183.85775.14366.4295SE +/- 0.022, N = 35.7155.6735.621

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 3840 x 2160NVIDIA RTX 3090NVIDIA 3090RTX 30909001800270036004500SE +/- 31.15, N = 34070.884081.304134.49

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 3840 x 2160NVIDIA RTX 3090NVIDIA 3090RTX 309090180270360450SE +/- 2.99, N = 3390.64391.63396.74

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-NNVIDIA RTX 3090NVIDIA 3090RTX 30901530456075SE +/- 0.17, N = 367.167.568.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesNVIDIA RTX 3090NVIDIA 3090RTX 30900.75651.5132.26953.0263.7825SE +/- 0.004, N = 33.3623.3183.313

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 3840 x 2160 - Effects Quality: MediumNVIDIA 3090NVIDIA RTX 3090RTX 3090110220330440550SE +/- 2.17, N = 3483.0485.6490.1

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sAXPYNVIDIA RTX 3090NVIDIA 3090RTX 309020406080100SE +/- 0.68, N = 398.298.399.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenetRTX 3090NVIDIA 3090NVIDIA RTX 30900.9631.9262.8893.8524.815SE +/- 0.01, N = 34.284.234.22MIN: 4.15 / MAX: 15.44MIN: 4.16 / MAX: 4.41MIN: 4.13 / MAX: 4.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TNNVIDIA RTX 3090NVIDIA 3090RTX 309020406080100SE +/- 0.32, N = 392.592.893.81. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: OpenCLNVIDIA RTX 3090RTX 3090NVIDIA 30905K10K15K20K25KSE +/- 98.83, N = 32271122739230291. (CXX) g++ options: -flto -pthread

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-vec4NVIDIA RTX 3090RTX 3090NVIDIA 30909K18K27K36K45KSE +/- 52.39, N = 340926.1741184.8941496.68

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-scalarNVIDIA RTX 3090RTX 3090NVIDIA 3090140280420560700SE +/- 0.83, N = 3649.53653.61658.50

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-NNRTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.18, N = 381.581.982.61. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMM-TTNVIDIA RTX 3090NVIDIA 3090RTX 309020406080100SE +/- 0.26, N = 390.790.891.91. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Max SP FlopsNVIDIA RTX 3090NVIDIA 3090RTX 30909K18K27K36K45KSE +/- 297.72, N = 340238.840566.240753.91. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-vec4NVIDIA RTX 3090NVIDIA 3090RTX 30906K12K18K24K30KSE +/- 69.31, N = 327457.9027806.5527806.74

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-NNVIDIA 3090RTX 3090NVIDIA RTX 309050100150200250SE +/- 0.33, N = 32372392401. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - sCOPYNVIDIA 3090NVIDIA RTX 3090RTX 30901530456075SE +/- 0.09, N = 365.365.566.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 309012002400360048006000SE +/- 16.63, N = 35366.185374.985430.39

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 3090110220330440550SE +/- 1.60, N = 3514.93515.78521.09

ET: Legacy

ETLegacy is an open-source engine evolution of Wolfenstein: Enemy Territory, a World War II era first person shooter that was released for free by Splash Damage using the id Tech 3 engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 2560 x 1440RTX 3090NVIDIA 3090NVIDIA RTX 3090140280420560700SE +/- 7.88, N = 4640.2643.7647.6

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.78Resolution: 1920 x 1080RTX 3090NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 3.73, N = 3652.3654.5659.8

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp16-scalarNVIDIA RTX 3090RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 45.34, N = 320717.3120949.6420953.72

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-scalarNVIDIA RTX 3090RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 44.97, N = 320689.7220769.2720924.98

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp64-vec4NVIDIA RTX 3090NVIDIA 3090140280420560700SE +/- 1.42, N = 3651.17658.51

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1080NVIDIA RTX 3090NVIDIA 3090RTX 309013002600390052006500SE +/- 54.90, N = 36206.046247.746274.52

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1080NVIDIA RTX 3090NVIDIA 3090RTX 3090130260390520650SE +/- 5.27, N = 3595.52599.52602.09

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sCOPYNVIDIA RTX 3090NVIDIA 3090RTX 309080160240320400SE +/- 0.88, N = 33643643681. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: GPUNVIDIA 3090RTX 3090NVIDIA RTX 3090816243240SE +/- 0.21, N = 332.2532.3332.60MIN: 29.03 / MAX: 34.55MIN: 30.03 / MAX: 34.38MIN: 30.12 / MAX: 34.6

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sDOTNVIDIA RTX 3090NVIDIA 3090RTX 309080160240320400SE +/- 0.58, N = 33713713751. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: DoubleNVIDIA 3090NVIDIA RTX 3090RTX 3090306090120150SE +/- 0.08, N = 3119.07118.52117.821. (CXX) g++ options: -O3

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: UltraNVIDIA RTX 3090RTX 3090NVIDIA 3090100200300400500SE +/- 1.10, N = 3469.5470.8474.5

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnetNVIDIA RTX 3090RTX 3090NVIDIA 30900.4320.8641.2961.7282.16SE +/- 0.01, N = 31.921.911.90MIN: 1.87 / MAX: 7.42MIN: 1.86 / MAX: 9.04MIN: 1.87 / MAX: 2.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NAMD CUDA

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD CUDA 2.14ATPase Simulation - 327,506 AtomsNVIDIA RTX 3090RTX 3090NVIDIA 30900.02910.05820.08730.11640.1455SE +/- 0.00047, N = 30.129120.127920.12779

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Barbershop - Compute: CUDANVIDIA RTX 3090RTX 3090NVIDIA 309020406080100SE +/- 0.17, N = 391.2991.1390.36

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient OpenCLNVIDIA 3090NVIDIA RTX 3090RTX 30900.33410.66821.00231.33641.6705SE +/- 0.006, N = 31.4851.4701.4701. (CXX) g++ options: -rdynamic

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvrays, More Is BetterChaos Group V-RAY 5Mode: NVIDIA RTX GPUNVIDIA 3090RTX 3090NVIDIA RTX 30906001200180024003000SE +/- 11.72, N = 3282928562856

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1080NVIDIA RTX 3090RTX 3090NVIDIA 30902004006008001000SE +/- 5.54, N = 3975.5984.3984.8

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA1RTX 3090NVIDIA RTX 3090NVIDIA 30905000M10000M15000M20000M25000MSE +/- 32122473.96, N = 3225993000002267850000022813100000

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dGEMV-TNVIDIA 3090NVIDIA RTX 3090RTX 309020406080100SE +/- 0.36, N = 375.475.576.11. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Fishy Cat - Compute: NVIDIA OptiXNVIDIA RTX 3090NVIDIA 3090RTX 30903691215SE +/- 0.09, N = 311.3211.2211.22

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGHash/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: MD5 HashRTX 3090NVIDIA 3090NVIDIA RTX 30901020304050SE +/- 0.00, N = 344.1944.5444.551. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-vec4NVIDIA RTX 3090RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 2.98, N = 316880.0116885.7917012.23

OctaneBench

OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterOctaneBench 2020.1Total ScoreNVIDIA 3090NVIDIA RTX 3090RTX 3090150300450600750681.13685.11686.23

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NNNVIDIA RTX 3090RTX 3090NVIDIA 30901302603905206506006016041. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TTNVIDIA RTX 3090RTX 3090NVIDIA 30901302603905206506016026051. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20210424fp32-scalarNVIDIA RTX 3090RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 65.72, N = 320826.6620927.9920960.25

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: BMW27 - Compute: CUDANVIDIA 3090RTX 3090NVIDIA RTX 30903691215SE +/- 0.01, N = 311.0911.0411.02

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 6.01, N = 39169.649217.239226.85

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 3840 x 2160RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.06, N = 391.4691.9492.03

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - sAXPYNVIDIA 3090NVIDIA RTX 3090RTX 3090110220330440550SE +/- 0.33, N = 35005015031. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesNVIDIA RTX 3090RTX 3090NVIDIA 3090714212835SE +/- 0.06, N = 329.0628.9528.89

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1200NVIDIA 3090RTX 3090NVIDIA RTX 309013002600390052006500SE +/- 54.66, N = 35836.225849.685867.72

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Wavelet Contour - Resolution: 1920 x 1200NVIDIA 3090RTX 3090NVIDIA RTX 3090120240360480600SE +/- 5.24, N = 3560.03561.32563.05

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Classroom - Compute: CUDARTX 3090NVIDIA RTX 3090NVIDIA 3090510152025SE +/- 0.03, N = 322.7622.6922.64

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2RTX 3090NVIDIA 3090NVIDIA RTX 30900.44550.8911.33651.7822.2275SE +/- 0.00, N = 31.981.971.97MIN: 1.94 / MAX: 6.06MIN: 1.94 / MAX: 2.26MIN: 1.94 / MAX: 3.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-TNRTX 3090NVIDIA RTX 3090NVIDIA 3090130260390520650SE +/- 1.33, N = 35996016021. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dCOPYNVIDIA RTX 3090RTX 3090NVIDIA 3090130260390520650SE +/- 0.33, N = 36056066081. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1200NVIDIA RTX 3090RTX 3090NVIDIA 30902004006008001000SE +/- 5.60, N = 3980.3984.8984.9

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: BMW27 - Compute: NVIDIA OptiXRTX 3090NVIDIA 3090NVIDIA RTX 3090246810SE +/- 0.01, N = 36.946.926.91

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: CPU BLAS - dCOPYNVIDIA RTX 3090NVIDIA 3090RTX 3090612182430SE +/- 0.00, N = 323.223.223.31. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 30902K4K6K8K10KSE +/- 7.77, N = 39343.829356.719380.93

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 2560 x 1440RTX 3090NVIDIA RTX 3090NVIDIA 309020406080100SE +/- 0.08, N = 393.2093.3393.57

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400mRTX 3090NVIDIA 3090NVIDIA RTX 30900.57151.1431.71452.2862.8575SE +/- 0.01, N = 32.542.532.53MIN: 2.5 / MAX: 3.7MIN: 2.51 / MAX: 2.76MIN: 2.49 / MAX: 3.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Fishy Cat - Compute: CUDANVIDIA RTX 3090RTX 3090NVIDIA 3090510152025SE +/- 0.04, N = 322.8722.8622.78

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: CopyNVIDIA 3090RTX 3090NVIDIA RTX 309080160240320400SE +/- 0.19, N = 3362.8364.1364.21. (CC) gcc options: -O2 -flto -lOpenCL

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: GPUNVIDIA RTX 3090NVIDIA 3090RTX 30903691215SE +/- 0.10, N = 310.4110.4310.45MIN: 8.47 / MAX: 13.76MIN: 8.54 / MAX: 13.75MIN: 8.53 / MAX: 13.8

vkpeak

Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int16-scalarNVIDIA RTX 3090RTX 3090NVIDIA 30903K6K9K12K15KSE +/- 29.87, N = 313657.3613708.5813709.41

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20210424int32-vec4NVIDIA RTX 3090RTX 3090NVIDIA 30904K8K12K16K20KSE +/- 44.80, N = 320594.7820672.1920672.21

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: GPUNVIDIA RTX 3090NVIDIA 30903691215SE +/- 0.03, N = 311.5711.61MIN: 11.39 / MAX: 11.73MIN: 11.41 / MAX: 11.72

Scene: DLSC - Acceleration: GPU

RTX 3090: Test failed to run.

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvpaths, More Is BetterChaos Group V-RAY 5Mode: NVIDIA CUDA GPUNVIDIA RTX 3090NVIDIA 3090RTX 30905001000150020002500SE +/- 0.33, N = 3211221152119

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPs/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMM-NTRTX 3090NVIDIA RTX 3090NVIDIA 3090130260390520650SE +/- 1.67, N = 36046056061. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

FAHBench

FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterFAHBench 2.3.2NVIDIA RTX 3090RTX 3090NVIDIA 309080160240320400SE +/- 0.32, N = 3353.33353.89354.46

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: SupercarRTX 3090NVIDIA RTX 3090NVIDIA 30901224364860SE +/- 0.03, N = 353.4453.5053.60

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: S3DRTX 3090NVIDIA 3090NVIDIA RTX 309090180270360450SE +/- 0.21, N = 3429.08430.28430.351. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1080NVIDIA 3090RTX 3090NVIDIA RTX 30902K4K6K8K10KSE +/- 4.72, N = 39402.639419.409429.54

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: SHA-512NVIDIA RTX 3090RTX 3090NVIDIA 3090600M1200M1800M2400M3000MSE +/- 2179704.36, N = 3288466666728870000002892900000

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Barbershop - Compute: NVIDIA OptiXNVIDIA RTX 3090NVIDIA 3090RTX 30901326395265SE +/- 0.06, N = 356.3556.3456.19

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50NVIDIA 3090NVIDIA RTX 3090RTX 30900.8011.6022.4033.2044.005SE +/- 0.00, N = 33.563.553.55MIN: 3.53 / MAX: 3.69MIN: 3.52 / MAX: 3.75MIN: 3.52 / MAX: 3.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.9Test: Many Spheres - Resolution: 1920 x 1080NVIDIA 3090RTX 3090NVIDIA RTX 309020406080100SE +/- 0.05, N = 393.7993.9594.05

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Texture Read BandwidthNVIDIA RTX 3090NVIDIA 3090RTX 30905001000150020002500SE +/- 3.07, N = 32240.092245.232246.171. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: 7-ZipRTX 3090NVIDIA RTX 3090NVIDIA 3090200K400K600K800K1000KSE +/- 4014.97, N = 3113850011401001141500

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Single-Precision FloatNVIDIA RTX 3090NVIDIA 3090RTX 30908K16K24K32K40KSE +/- 88.80, N = 335136.6035225.4035227.211. (CXX) g++ options: -O3 -rdynamic -lOpenCL

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: WriteNVIDIA 3090RTX 3090NVIDIA RTX 3090160320480640800SE +/- 0.33, N = 3742.8743.1744.71. (CC) gcc options: -O2 -flto -lOpenCL

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16NVIDIA RTX 3090NVIDIA 3090RTX 30900.94051.8812.82153.7624.7025SE +/- 0.02, N = 34.184.174.17MIN: 4.12 / MAX: 11.44MIN: 4.13 / MAX: 4.34MIN: 4.12 / MAX: 4.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXNVIDIA RTX 3090NVIDIA 3090RTX 309048121620SE +/- 0.02, N = 318.0017.9617.96

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleNVIDIA RTX 3090NVIDIA 3090RTX 30903691215SE +/- 0.003, N = 39.2929.2919.2721. (CXX) g++ options: -O3

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: ReductionRTX 3090NVIDIA RTX 3090NVIDIA 309090180270360450SE +/- 0.19, N = 3391.21391.57392.031. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.0Blend File: Pabellon Barcelona - Compute: CUDANVIDIA RTX 3090RTX 3090NVIDIA 30901122334455SE +/- 0.01, N = 348.1848.1148.09

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: GPUNVIDIA RTX 3090NVIDIA 30903691215SE +/- 0.01, N = 311.2011.22MIN: 3.54 / MAX: 13.16MIN: 3.57 / MAX: 13.17

Scene: LuxCore Benchmark - Acceleration: GPU

RTX 3090: [LuxCore][5.612] PhotonGI estimated current indirect photon error: 23.06%

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dAXPYRTX 3090NVIDIA RTX 3090NVIDIA 3090160320480640800SE +/- 0.00, N = 37227227231. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: TriadNVIDIA 3090RTX 3090NVIDIA RTX 3090612182430SE +/- 0.00, N = 325.4525.4825.481. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed ReadbackNVIDIA 3090RTX 3090NVIDIA RTX 3090612182430SE +/- 0.00, N = 327.0927.1327.131. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

cl-mem

A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettercl-mem 2017-01-13Benchmark: ReadNVIDIA RTX 3090RTX 3090NVIDIA 30902004006008001000SE +/- 0.84, N = 3794.3794.6795.21. (CC) gcc options: -O2 -flto -lOpenCL

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 2560 x 1440RTX 3090NVIDIA 3090NVIDIA RTX 30902004006008001000SE +/- 0.35, N = 3984.7985.5985.7

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: OpenCL GPU - Scene: BedroomNVIDIA 3090NVIDIA RTX 3090RTX 3090510152025SE +/- 0.01, N = 320.9420.9520.96

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterclpeakOpenCL Test: Double-Precision DoubleNVIDIA RTX 3090RTX 3090NVIDIA 3090140280420560700SE +/- 0.03, N = 3657.71658.16658.161. (CXX) g++ options: -O3 -rdynamic -lOpenCL

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: FFT SPRTX 3090NVIDIA RTX 3090NVIDIA 30905001000150020002500SE +/- 0.42, N = 32100.512101.082101.821. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

OpenBenchmarking.orgGB/s, More Is BetterSHOC Scalable HeterOgeneous Computing 2020-04-17Target: OpenCL - Benchmark: Bus Speed DownloadNVIDIA 3090NVIDIA RTX 3090RTX 3090612182430SE +/- 0.01, N = 326.3226.3326.331. (CXX) g++ options: -O2 -lSHOCCommonMPI -lSHOCCommonOpenCL -lSHOCCommon -lOpenCL -lrt -lmpi_cxx -lmpi

Hashcat

Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterHashcat 6.2.4Benchmark: MD5NVIDIA RTX 3090NVIDIA 3090RTX 309015000M30000M45000M60000M75000MSE +/- 78065236.25, N = 3714113666677143620000071446900000

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Black-Scholes OpenCLRTX 3090NVIDIA RTX 3090NVIDIA 3090246810SE +/- 0.004, N = 36.2596.2586.2561. (CXX) g++ options: -O3 -march=native -fopenmp

clpeak

Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGBPS, More Is BetterclpeakOpenCL Test: Global Memory BandwidthRTX 3090NVIDIA RTX 3090NVIDIA 30902004006008001000SE +/- 0.02, N = 3813.42813.45813.471. (CXX) g++ options: -O3 -rdynamic -lOpenCL

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetNVIDIA 3090NVIDIA RTX 3090RTX 30900.4680.9361.4041.8722.34SE +/- 0.01, N = 32.082.082.08MIN: 2.06 / MAX: 2.51MIN: 2.05 / MAX: 3.23MIN: 2.06 / MAX: 2.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ViennaCL

ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is BetterViennaCL 1.7.1Test: OpenCL BLAS - dGEMV-TRTX 3090NVIDIA RTX 3090NVIDIA 309080160240320400SE +/- 0.33, N = 33773773771. (CXX) g++ options: -fopenmp -O3 -rdynamic -lOpenCL

NeatBench

NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.

Acceleration: GPU

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssdNVIDIA 3090NVIDIA RTX 3090RTX 3090510152025SE +/- 1.24, N = 319.7317.3115.96MIN: 7.36 / MAX: 35.55MIN: 5.63 / MAX: 36.32MIN: 5.77 / MAX: 36.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetNVIDIA RTX 3090RTX 3090NVIDIA 3090246810SE +/- 0.26, N = 36.075.855.75MIN: 3.71 / MAX: 31.52MIN: 3.71 / MAX: 29.49MIN: 3.72 / MAX: 311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000

RTX 3090: @ 0x7f9e6bb6a35f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7f9599f2935f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7f1a673f235f google::LogMessageFatal::~LogMessageFatal()

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200

RTX 3090: @ 0x7f07fc1da35f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7fe536ef535f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7fcccd8ca35f google::LogMessageFatal::~LogMessageFatal()

Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100

RTX 3090: @ 0x7fcf7a66c35f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7fc8cad7235f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7fc82391235f google::LogMessageFatal::~LogMessageFatal()

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000

RTX 3090: @ 0x7f2baa38435f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7fa1401b935f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7f06ca10535f google::LogMessageFatal::~LogMessageFatal()

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200

RTX 3090: @ 0x7ff7c4d3335f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7efc6619835f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7f70627d835f google::LogMessageFatal::~LogMessageFatal()

Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100

RTX 3090: @ 0x7f673b18935f google::LogMessageFatal::~LogMessageFatal()

NVIDIA RTX 3090: @ 0x7ff1662db35f google::LogMessageFatal::~LogMessageFatal()

NVIDIA 3090: @ 0x7fa229dc935f google::LogMessageFatal::~LogMessageFatal()

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare

RTX 3090: ./gromacs: 5: /cuda-build/run-gromacs: not found

NVIDIA RTX 3090: ./gromacs: 5: /cuda-build/run-gromacs: not found

NVIDIA 3090: ./gromacs: 5: /cuda-build/run-gromacs: not found

RedShift Demo

This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.

RTX 3090: The test quit with a non-zero exit status.

NVIDIA RTX 3090: The test quit with a non-zero exit status.

NVIDIA 3090: The test quit with a non-zero exit status.

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 2560 x 1440 - Effects Quality: UltraNVIDIA RTX 3090RTX 3090NVIDIA 3090100200300400500SE +/- 14.16, N = 12452.5461.7466.6

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

Codec: ETC2 RGB - Quality: Highest

RTX 3090: ./betsy: 3: ./betsy: not found

NVIDIA RTX 3090: ./betsy: 3: ./betsy: not found

NVIDIA 3090: ./betsy: 3: ./betsy: not found

Codec: ETC1 - Quality: Highest

RTX 3090: ./betsy: 3: ./betsy: not found

NVIDIA RTX 3090: ./betsy: 3: ./betsy: not found

NVIDIA 3090: ./betsy: 3: ./betsy: not found

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

RTX 3090: The test quit with a non-zero exit status.

NVIDIA RTX 3090: The test quit with a non-zero exit status.

NVIDIA 3090: The test quit with a non-zero exit status.

Mixbench

A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.

Backend: NVIDIA CUDA - Benchmark: Single Precision

RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Double Precision

RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: NVIDIA CUDA - Benchmark: Half Precision

RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: OpenCL - Benchmark: Single Precision

RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: OpenCL - Benchmark: Double Precision

RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

Backend: NVIDIA CUDA - Benchmark: Integer

RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-cuda-ro: not found

Backend: OpenCL - Benchmark: Integer

RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA RTX 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

NVIDIA 3090: ./mixbench: 3: ./mixbench-ocl-ro: not found

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

Scale: 2x - Denoise: 3 - TAA: No

RTX 3090: Test failed to run.

NVIDIA RTX 3090: Test failed to run.

NVIDIA 3090: Test failed to run.

152 Results Shown

NCNN:
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - yolov4-tiny
Unvanquished
NCNN
Rodinia
clpeak
NCNN
ViennaCL
VkFFT
ParaView:
  Wavelet Volume - 2560 x 1440:
    Frames / Sec
    MiVoxels / Sec
Hashcat
ViennaCL
ParaView:
  Wavelet Volume - 1920 x 1200:
    MiVoxels / Sec
    Frames / Sec
Blender
Unvanquished
SHOC Scalable HeterOgeneous Computing
NCNN
Unvanquished:
  1920 x 1200 - High
  3840 x 2160 - Ultra
ParaView:
  Wavelet Volume - 1920 x 1080:
    Frames / Sec
    MiVoxels / Sec
Unvanquished
ParaView:
  Many Spheres - 1920 x 1200:
    Frames / Sec
    MiPolys / Sec
ViennaCL
Xonotic
ParaView:
  Wavelet Volume - 3840 x 2160:
    Frames / Sec
    MiVoxels / Sec
ET: Legacy
LuxCoreRender
Warsow
ET: Legacy
Unvanquished
Xonotic:
  3840 x 2160 - Ultimate
  3840 x 2160 - High
ViennaCL
Xonotic
Unvanquished
NCNN
MandelGPU
Unvanquished
ViennaCL
Unvanquished
RealSR-NCNN
ParaView:
  Wavelet Contour - 3840 x 2160:
    MiPolys / Sec
    Frames / Sec
ViennaCL
Waifu2x-NCNN Vulkan
Unvanquished
ViennaCL
NCNN
ViennaCL
LeelaChessZero
vkpeak:
  fp16-vec4
  fp64-scalar
ViennaCL:
  CPU BLAS - dGEMM-NN
  CPU BLAS - dGEMM-TT
SHOC Scalable HeterOgeneous Computing
vkpeak
ViennaCL:
  OpenCL BLAS - dGEMV-N
  CPU BLAS - sCOPY
ParaView:
  Wavelet Contour - 2560 x 1440:
    MiPolys / Sec
    Frames / Sec
ET: Legacy:
  2560 x 1440
  1920 x 1080
vkpeak:
  fp16-scalar
  int32-scalar
  fp64-vec4
ParaView:
  Wavelet Contour - 1920 x 1080:
    MiPolys / Sec
    Frames / Sec
ViennaCL
LuxCoreRender
ViennaCL
VkResample
Unvanquished
NCNN
NAMD CUDA
Blender
ArrayFire
Chaos Group V-RAY
Warsow
Hashcat
ViennaCL
Blender
SHOC Scalable HeterOgeneous Computing
vkpeak
OctaneBench
ViennaCL:
  OpenCL BLAS - dGEMM-NN
  OpenCL BLAS - dGEMM-TT
vkpeak
Blender
ParaView:
  Many Spheres - 3840 x 2160:
    MiPolys / Sec
    Frames / Sec
ViennaCL
RealSR-NCNN
ParaView:
  Wavelet Contour - 1920 x 1200:
    MiPolys / Sec
    Frames / Sec
Blender
NCNN
ViennaCL:
  OpenCL BLAS - dGEMM-TN
  OpenCL BLAS - dCOPY
Warsow
Blender
ViennaCL
ParaView:
  Many Spheres - 2560 x 1440:
    MiPolys / Sec
    Frames / Sec
NCNN
Blender
cl-mem
LuxCoreRender
vkpeak:
  int16-scalar
  int32-vec4
LuxCoreRender
Chaos Group V-RAY
ViennaCL
FAHBench
IndigoBench
SHOC Scalable HeterOgeneous Computing
ParaView
Hashcat
Blender
NCNN
ParaView
SHOC Scalable HeterOgeneous Computing
Hashcat
clpeak
cl-mem
NCNN
Blender
VkResample
SHOC Scalable HeterOgeneous Computing
Blender
LuxCoreRender
ViennaCL
SHOC Scalable HeterOgeneous Computing:
  OpenCL - Triad
  OpenCL - Bus Speed Readback
cl-mem
Warsow
IndigoBench
clpeak
SHOC Scalable HeterOgeneous Computing:
  OpenCL - FFT SP
  OpenCL - Bus Speed Download
Hashcat
FinanceBench
clpeak
NCNN
ViennaCL
NCNN:
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - googlenet
Unvanquished